Instructions to use stablediffusionapi/realhotspice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realhotspice with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/realhotspice", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a43b76ec944d28b5c7ddf25a8a90cbc1f8f7400ba73310c10771c04f8a606c6f
- Size of remote file:
- 246 MB
- SHA256:
- 3302c7c43e665e065a7c0d2f603b576fbaac635e58086a108e04f98ef8c27dad
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